Maarten van der Velde & Marieke van Vugt University of Groningen

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Presentation transcript:

Maarten van der Velde & Marieke van Vugt University of Groningen Modelling Rumination Understanding the Cognitive Mechanisms of Mind-Wandering in the Depressed Mind Maarten van der Velde & Marieke van Vugt University of Groningen

Mind-wandering Rumination

Modelling mind-wandering van Vugt, Taatgen, Sackur, Bastian (2015) Cognitive model with mind-wandering as a competing goal Working memory item6 item10 item3 item12 item4 item9 item2 item1 item7 item5 item8 item11 Goals Long-term memory Procedural Vision Manual ACT-R architecture

Humans experience sampling data (Wigman et al., 2015) Modelling rumination van Vugt, van der Velde, & ESM-MERGE Investigators (2017) Model Humans experience sampling data (Wigman et al., 2015)

Modelling rumination: Predicting go/no-go task performance van Vugt, van der Velde, & ESM-MERGE Investigators (2017) 7 3

What about a more complex task What about a more complex task? Levens & Gotlib (2010): Updating positive and negative stimuli in WM Emotional n-back task +

Emotional 2-back Levens & Gotlib (2010) n + 2 same n + 3 different n + 4 different

2-back model ? declarative memory expression: sad 0-back 1-back 2-back happy 0-back 1-back 2-back happy sad neutral sad match press same

Emotional 0-back Levens & Gotlib (2010) target: neutral different different different same different

Effects of depression on performance Levens & Gotlib (2010) No perceptual processing impairment (0-back) Slower disengagement from mood-congruent items (both groups!) elaborate 0-back 1-back 2-back neutral happy neutral sad

Slower disengagement from mood-congruent items 0-back 1-back 2-back neutral happy sad

Response rate Accuracy

Summary Cognitive models can help us understand rumination We can implement and test verbal theories Contents of memory Valence-specific biases in WM updating We can make testable predictions about behaviour Response time, accuracy, response rate Occurrence of rumination